Workload control and optimised order release: an assessment by simulation

Fernandes, Nuno O.; Thürer, Matthias; Pinho, Tatiana M.; Torres, Pedro; Silva, Sílvio Carmo

doi:10.1080/00207543.2019.1630769

Cited by 19 publications

(30 citation statements)

References 33 publications

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“…), where each experimental scenario was replicated 100 times. These simulation conditions are in line with those used in previous studies that applied simulation e.g., [31], allowing to obtain stable results, while keeping the simulation run time to a reasonable level. Moreover, to validate our model we compared simulation and meta-heuristic results under deterministic times.…”

Section: Simulation Results and Analysissupporting

confidence: 72%

Combining Line Balancing Methods and Discrete Event Simulation: A Case Study from a Metalworking Company

Mirzaei

Nejad²,

Fernandes

2021

Int J Ind Eng Manag

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In this study, we consider a real-life Line Balancing Problem (LBP) at a metalworking company. Based on the concerns of the company's managers, the number of workstations is considered as the main performance criteria for line balancing, while line efficiency and smoothness are considered as the second and the third performance criteria. Two alternative line configurations, i.e., the straight line and the U-shaped line, are considered in the study as a company request. The Grouping Evolution Strategy (GES) algorithm, as one of the novel and powerful method in the literature, is used at a first step, assuming deterministic task times. At a second step, discrete event simulation is used to analyse the impact of stochastic' times on the dynamic behaviour of the two line configurations in terms of throughput time and throughput rate. Results of this study are expected to contribute to both research and practice in the context of line balancing.

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Section: Simulation Results and Analysissupporting

confidence: 72%

Combining Line Balancing Methods and Discrete Event Simulation: A Case Study from a Metalworking Company

Mirzaei

Nejad²,

Fernandes

2021

Int J Ind Eng Manag

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“…Controlled release decision focuses on unreleased jobs, which includes the remaining jobs at last decision point and new arriving jobs. An integer linear programming (ILP) model of release decision is presented by [37] in job shop, and jobs are released as long as they will not violate the upper bound of resources within their selected process routes. We extend this ILP model in DFAJS, routing decision is incorporated into release decision.…”

Section: Sets and Indicesmentioning

confidence: 99%

Performance Assessment of Dynamic Flexible Assembly Job Shop Control Methods

et al. 2020

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“…In lean paradigm, the elimination of non-value-added activities and wastes, such as overproduction and buffer, aims to reduce lead time, guaranteeing more responsiveness to customer demand (Haider and Mirza 2015). Other causes of waste are represented by long waiting and queue times that may occur due to the over-saturation of resources (Haider and Mirza 2015) or unbalanced scheduling plan (Fernandes et al, 2014;Fernandes et al, 2020), resulting in large work in process (WIP). The identification and monitoring of an appropriate set of indicators represents a key aspect especially within dynamic contexts, where changes in key performance indicators (KPIs) have to be immediately followed by the most appropriate reaction.…”

Section: Introductionmentioning

confidence: 99%

Designing And Optimizing Production In A High Variety / Low Volume Environment Through Data-Driven Simulation

Fani

Bindi

Bandinelli

2021

ECMS 2021 Proceedings Edited by Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela

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HVLV environments are characterized by high product variety and small lot production, pushing companies to recursively design and optimize their production systems in a very short time to reach high-level performance. To increase their competitiveness, companies belonging to these industries, often SMEs working as third parties, ask for decision-making tools to support them in a quick and reactive reconfiguration of their production lines. Traditional discrete event simulation models, widely studied in the literature to solve production-related issues, do not allow real-time support to business decisions in dynamic contexts, due to the time-consuming activities needed to re-align parameters to changing environments. Data-driven approach overcomes these limitations, giving the possibility to easily update input and quickly rebuild the model itself without any changes in the modeling code. The proposed data-driven simulation model has also been interfaced with a commonly-used BI tool to support companies in the iterative comparison of different scenarios to define the optimal resource allocation for the requested production plan. The simulation model has been implemented into a SME operating in the footwear industry, showing how this approach can be used by companies to increase their performance even without a specific knowledge in building and validating simulation models.

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Workload control and optimised order release: an assessment by simulation

Cited by 19 publications

References 33 publications

Combining Line Balancing Methods and Discrete Event Simulation: A Case Study from a Metalworking Company

Combining Line Balancing Methods and Discrete Event Simulation: A Case Study from a Metalworking Company

Performance Assessment of Dynamic Flexible Assembly Job Shop Control Methods

Designing And Optimizing Production In A High Variety / Low Volume Environment Through Data-Driven Simulation

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